Results 1 to 10 of about 11,154 (211)
International Journal of Advanced Research in Science, Communication and TechnologyStudent dropout poses a major challenge to educational institutions, affecting academic performance and institutional reputation. This study applies machine learning techniques to predict at-risk students using data from the Department of Computer Science, University of Benin (2016–2020), with 906 records analyzed. Six classifiers—Naive Bayes, Logistic
Tea Ercegović
+4 more sources
Applied Artificial Intelligence, 2022 The Sub-Saharan countries are leading in dropout rates in secondary schools by 37.5% followed by South Asia 15.5% and Middle East 11% in 2018. In Tanzania, student dropouts in secondary schools increased from 3.8% in 2018 to 4.2% in 2019.
Yuda N. Mnyawami +2 more
doaj +2 more sources
Using Nudges to Prevent Student Dropouts in the Pandemic [PDF]
SSRN Electronic Journal, 2020 The impacts of COVID-19 reach far beyond the hundreds of lives lost to the disease; in particular, the pre-existing learning crisis is expected to be magnified during school shutdown. Despite efforts to put distance learning strategies in place, the threat of student dropouts, especially among adolescents, looms as a major concern. Are interventions to
Lichand G, Christen J.
europepmc +4 more sources
All-Year Dropout Prediction Modeling and Analysis for University Students
Applied Sciences, 2023 The core of dropout prediction lies in the selection of predictive models and feature tables. Machine learning models have been shown to predict student dropouts accurately.
Zihan Song +3 more
doaj +1 more source
University Dropout in Engineering: Motives and Student Trajectories [PDF]
Psicothema, 2021 Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.The study combined quantitative and qualitative data.
Casanova, Joana R. +3 more
openaire +4 more sources
Student Dropout Prediction [PDF]
, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F. +3 more
openaire +3 more sources
Iatreia, 2022 Introduction: Dropout rates are a constant concern for schools of medicine. Its study and solution are complex, it compromises the future of the student and affects the academic reputation of the program.
Cabrales, Rodolfo Adrián +4 more
doaj +1 more source
Financial capability of student loan holders who are college students, graduates, or dropouts
Journal of Consumer Affairs, 2020 Nilton Porto, Jing Jian Xiao
exaly +3 more sources
Why do open and distance education students drop out? Views from various stakeholders
International Journal of Educational Technology in Higher Education, 2022 While the demand for open and distance education is increasing, it also faces high dropout rates. The reasons and solutions for student dropouts need considerable attention.
Ayşe Bağrıacık Yılmaz +1 more
doaj +1 more source
Deep FM-Based Predictive Model for Student Dropout in Online Classes
IEEE Access, 2023 The student’s high dropout rate is a severe issue in online learning courses. As a result, it is creating concerns for academics and administrators in the field of education. A practical method of preventing dropouts is predicting students’
Nuha Mohammed Alruwais
doaj +1 more source